Machine learning speeds up forensic fingerprint matching

Machine learning speeds up forensic fingerprint matching

The new algorithm helps read smudged or incomplete fingerprints Fingerprinting is one of the mainstays of forensic science, but despite what we see on TV and in movies, analyzing and matching latent prints is a difficult business and still the province of experts. But now scientists from the National Institute of Standards and Technology (NIST) and Michigan State University are using algorithms and machine learning as a way to automate the process and make fingerprint mathcing more efficient. With fingerprint readers built into smartphones, it seems as if making an automated fingerprint analyzer for forensic scientists would be a […]

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